Data sources are crucial in catalysis for several reasons: 1. Experimental Verification: Data from previous experiments can be used to verify new hypotheses or experimental setups. 2. Computational Modeling: Reliable data is essential for creating accurate computational models that predict catalytic behavior. 3. Literature Review: Access to a broad array of literature helps researchers stay up-to-date with current advances and methodologies.
